Sparse coding with memristor networks

Sparse representation of information provides a powerful means to perform feature extraction on high-dimensional data and is of broad interest for applications in signal processing, computer vision, object recognition and neurobiology. Sparse coding is also believed to be a key mechanism by which bi...

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Bibliographic Details
Published in:	Nature nanotechnology Vol. 12; no. 8; pp. 784 - 789
Main Authors:	Sheridan, Patrick M., Cai, Fuxi, Du, Chao, Ma, Wen, Zhang, Zhengya, Lu, Wei D.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.08.2017 Nature Publishing Group
Subjects:	142/126 639/166/987 639/925/927/1007 Algorithms Coding Computer vision Data processing Dictionaries Feature extraction Image processing Materials Science Memristors Nanotechnology Nanotechnology and Microengineering Nervous system Neural coding Neurosciences Object recognition Pattern matching Pattern recognition Power consumption Signal processing
ISSN:	1748-3387, 1748-3395, 1748-3395
Online Access:	Get full text
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